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Semantic Segmentation

NVIDIA Docs Hub NVIDIA TAO NVIDIA TAO Toolkit v3.0 Semantic Segmentation

NVIDIA TAO Release tlt.30

UNET

© Copyright 2020, NVIDIA. Last updated on Jul 28, 2021.

Topics

NVIDIA TAO Toolkit v3.0
Introduction
CV Model Zoo
Conv AI Model Zoo
- Conversational AI Model Zoo
Running TLT in the Cloud
CV Applications
Conversational AI Applications
- ASR
  - Speech Recognition
    
    Downloading Sample Spec Files
    
    Required Arguments
    
    Preparing the Dataset
    
    Creating an Experiment Spec File
    
    Training Process Configs
    
    Dataset Configs
    
    Model Configs
    
    Training the Model
    
    Required Arguments
    
    Optional Arguments
    
    Training Procedure
    
    Troubleshooting
    
    Evaluating the Model
    
    Required Arguments
    
    Optional Arguments
    
    Evaluation Procedure
    
    Troubleshooting
    
    Fine-Tuning the Model
    
    Required Arguments
    
    Optional Arguments
    
    Fine-Tuning Procedure
    
    Troubleshooting
    
    Using Inference on a Model
    
    Required Arguments
    
    Optional Arguments
    
    Inference Procedure
    
    Troubleshooting
    
    Model Export
    
    Required Arguments
    
    Optional Arguments
    
    Export Spec File
  - Speech Recognition With CitriNet
    
    Downloading Sample Spec Files
    
    Required Arguments
    
    Preparing the Dataset
    
    Creating an Experiment Spec File
    
    Training Process Configs
    
    Dataset Configs
    
    Model Configs
    
    Subword Tokenization with the Tokenizer
    
    Required Arguments
    
    Creating a config file for tokenizer
    
    Training the Model
    
    Required Arguments
    
    Optional Arguments
    
    Training Procedure
    
    Troubleshooting
    
    Evaluating the Model
    
    Required Arguments
    
    Optional Arguments
    
    Evaluation Procedure
    
    Troubleshooting
    
    Fine-Tuning the Model
    
    Required Arguments
    
    Optional Arguments
    
    Fine-Tuning Procedure
    
    Troubleshooting
    
    Using Inference on a Model
    
    Required Arguments
    
    Optional Arguments
    
    Inference Procedure
    
    Troubleshooting
    
    Model Export
    
    Required Arguments
    
    Optional Arguments
    
    Export Spec File
- Natural Language Processing
Deploying to Inference SDKs
More Information
- Release Notes
  - Transfer Learning Toolkit V3.0
    
    Key Features
    
    Contents
    
    Software Requirements
    
    Hardware Requirements
    
    Known Issues
    
    Resolved Issues
- Frequently Asked Questions
- Troubleshooting Guide
- Support Information
- Acknowledgements
  - nitime
  - OpenSSL
  - JsonCpp
  - Python
  - libcurl
  - OpenCV
  - zlib
  - TensorFlow
  - Keras
  - PyTorch
  - ssd_keras
  - Yamale
  - PyCUDA
  - protobuf
  - onnx
  - PIL
  - PyYAML
  - addict
  - argcomplete
  - bto3
  - cryptography
  - docker
  - dockerpty
  - gRPC
  - h5py
  - jupyter
  - numba
  - numpy
  - pandas
  - posix_ipc
  - prettytable
  - arrow
  - PyJWT
  - requests
  - retrying
  - seaborn
  - scikit-image
  - scikit-learn
  - semver
  - Shapely
  - simplejson
  - six
  - python-tabulate
  - toposort
  - tqdm
  - uplink
  - xmltodict
  - recordclass
  - cocoapi
  - mpi4py
  - Open MPI
  - lazy_object_proxy
  - onnxruntime
  - pytorch-lightning

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